Tutorial: Intelligent Systems for Smart Building Management

14th International Conference on Intelligent Environments (IE'18) 25-28 of June 2018, Rome - Italy http://www.intenv.org/

Abstract:

Managing smart buildings is a challenging task, particularly in presence of contrasting goals, such as satisfying users’ needs and reducing the energy consumption. Artificial Intelligence allows to design smart buildings really capable of proactively support the users to reach their goals. Intelligent systems should be capable of exploiting the information gathered by sensors pervading the building, understanding the context, selecting the best actions to perform, and actively modifying the environment. The design of such systems is a complex task, because of the possibly wide set of functional and non-functional requirements, and the dependences among intelligent functionalities and their embodiment in the building's cyber physical space. This tutorial provides the main guidelines for designing intelligent systems for smart buildings management, according to the Artificial Intelligence perspective. The main goals and requirements driving such design process will be described, and the wide range of potential design choices will be analyzed, by highlighting the effect of each choice on the intelligent capabilities of the system. The different approaches presented in the literature to design the main intelligent functionalities will also be described. Finally, some indications about how to experimentally evaluate the system performances will be provided.

Duration: 1:30

Topics of interest:
Artificial intelligence, Ambient intelligence, Smart buildings, AAL, Sensors, Wireless sensor networks

Speaker: Alessandra De Paola, University of Palermo

Alessandra De Paola received her B.S. Degree and M.S. Degree in Computer Engineering from University of Palermo, Italy, in 2004 and 2007, respectively, and Ph.D. in Computer Engineering from University of Palermo, Italy, in 2011. She has been an assistant professor of computer engineering at the University of Palermo from 2012 to 2017. Her current research interests include Artificial Intelligence applied to Distributed Systems, Wireless Sensor Networks, Ambient Intelligence and Network Security. She has been Work Package leader of different research projects concerning with the design of Ambient Intelligent systems based on distributed sensors.

Contacts: alessandra.depaola@unipa.it

Outline:

• Motivations for adopting artificial intelligence to manage smart buildings
• The sensing-reasoning-actuating-interacting loop
• Distributed vs. centralized intelligence
• Reactive vs. deliberative intelligence
• System architectures for supporting intelligent functionalities
• Artificial Intelligence methodss
• Environment and context sensing
• Intelligent functionalities for smart buildings
  • Context understanding
  • Learning user behavior
  • Learning user preferences
  • Intelligent planning
• Evaluation of the intelligent capabilities of smart buildings
• Main challenges
• Conclusions

Refercences:

A. De Paola, M. Ortolani, G. Lo Re, G. Anastasi, S. K. Das, “Intelligent management systems for energy efficiency in buildings: A survey”. ACM Computing Surveys (CSUR), 47(1), 13, (2014).

A. De Paola, P. Ferraro, S. Gaglio, G. L. Re, S. K. Das, "An Adaptive Bayesian System for Context-Aware Data Fusion in Smart Environments," in IEEE Transactions on Mobile Computing, vol. 16, no. 6, pp. 1502-1515, (2017).

A. De Paola, S. Gaglio, G. Lo Re, M. Ortolani. Sensor 9k: A testbed for designing and experimenting with WSN-based ambient intelligence applications. In Pervasive and Mobile Computing, vol. 8, issue 3, pp. 448-466, (2012).